| Winogrande: An adversarial winograd schema challenge at scale K Sakaguchi, RL Bras, C Bhagavatula, Y Choi Communications of the ACM 64 (9), 99-106, 2021 | 1527 | 2021 |
| Piqa: Reasoning about physical commonsense in natural language Y Bisk, R Zellers, J Gao, Y Choi Proceedings of the AAAI conference on artificial intelligence 34 (05), 7432-7439, 2020 | 1301 | 2020 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 1291 | 2022 |
| Clipscore: A reference-free evaluation metric for image captioning J Hessel, A Holtzman, M Forbes, RL Bras, Y Choi arXiv preprint arXiv:2104.08718, 2021 | 1255 | 2021 |
| Atomic: An atlas of machine commonsense for if-then reasoning M Sap, R Le Bras, E Allaway, C Bhagavatula, N Lourie, H Rashkin, ... Proceedings of the AAAI conference on artificial intelligence 33 (01), 3027-3035, 2019 | 1057 | 2019 |
| Socialiqa: Commonsense reasoning about social interactions M Sap, H Rashkin, D Chen, R LeBras, Y Choi arXiv preprint arXiv:1904.09728, 2019 | 781 | 2019 |
| Cosmos QA: Machine reading comprehension with contextual commonsense reasoning L Huang, RL Bras, C Bhagavatula, Y Choi arXiv preprint arXiv:1909.00277, 2019 | 459 | 2019 |
| Abductive commonsense reasoning C Bhagavatula, RL Bras, C Malaviya, K Sakaguchi, A Holtzman, ... arXiv preprint arXiv:1908.05739, 2019 | 446 | 2019 |
| (comet-) atomic 2020: On symbolic and neural commonsense knowledge graphs JD Hwang, C Bhagavatula, R Le Bras, J Da, K Sakaguchi, A Bosselut, ... Proceedings of the AAAI conference on artificial intelligence 35 (7), 6384-6392, 2021 | 442 | 2021 |
| Generated knowledge prompting for commonsense reasoning J Liu, A Liu, X Lu, S Welleck, P West, RL Bras, Y Choi, H Hajishirzi arXiv preprint arXiv:2110.08387, 2021 | 329 | 2021 |
| Faith and fate: Limits of transformers on compositionality N Dziri, X Lu, M Sclar, XL Li, L Jiang, BY Lin, S Welleck, P West, ... Advances in Neural Information Processing Systems 36, 2024 | 319 | 2024 |
| Symbolic knowledge distillation: from general language models to commonsense models P West, C Bhagavatula, J Hessel, JD Hwang, L Jiang, RL Bras, X Lu, ... arXiv preprint arXiv:2110.07178, 2021 | 308 | 2021 |
| Unsupervised commonsense question answering with self-talk V Shwartz, P West, RL Bras, C Bhagavatula, Y Choi arXiv preprint arXiv:2004.05483, 2020 | 270 | 2020 |
| Adversarial filters of dataset biases R Le Bras, S Swayamdipta, C Bhagavatula, R Zellers, M Peters, ... International conference on machine learning, 1078-1088, 2020 | 234 | 2020 |
| Generative data augmentation for commonsense reasoning Y Yang, C Malaviya, J Fernandez, S Swayamdipta, RL Bras, JP Wang, ... arXiv preprint arXiv:2004.11546, 2020 | 221 | 2020 |
| Neural theory-of-mind? on the limits of social intelligence in large lms M Sap, R LeBras, D Fried, Y Choi arXiv preprint arXiv:2210.13312, 2022 | 205 | 2022 |
| Dynamic neuro-symbolic knowledge graph construction for zero-shot commonsense question answering A Bosselut, R Le Bras, Y Choi Proceedings of the AAAI conference on Artificial Intelligence 35 (6), 4923-4931, 2021 | 183 | 2021 |
| Neurologic a* esque decoding: Constrained text generation with lookahead heuristics X Lu, S Welleck, P West, L Jiang, J Kasai, D Khashabi, RL Bras, L Qin, ... arXiv preprint arXiv:2112.08726, 2021 | 159 | 2021 |
| Moral stories: Situated reasoning about norms, intents, actions, and their consequences D Emelin, RL Bras, JD Hwang, M Forbes, Y Choi arXiv preprint arXiv:2012.15738, 2020 | 151 | 2020 |
| Neurologic decoding:(un) supervised neural text generation with predicate logic constraints X Lu, P West, R Zellers, RL Bras, C Bhagavatula, Y Choi arXiv preprint arXiv:2010.12884, 2020 | 141 | 2020 |
Yejin ChoiStanford University / NVIDIA確認したメール アドレス: stanford.edu